Identification of 22 N-glycosites on spike glycoprotein of SARS-CoV-2 and accessible surface glycopeptide motifs: Implications for vaccination and antibody therapeutics
Identification of 22 N-glycosites on spike glycoprotein of SARS-CoV-2 and accessible surface glycopeptide motifs: Implications for vaccination and antibody therapeutics
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SARS-CoV-2 刺突糖蛋白上 22 个 N-糖基化位点和可及表面糖肽基序的鉴定:对疫苗接种和抗体治疗的影响
DOI:
10.1093/glycob/cwaa052
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发表时间:
2021-01-01
期刊:
影响因子:
4.3
通讯作者:
Zhang, Wen
中科院分区:
文献类型:
--
作者:
Zhou, Dapeng;Tian, Xiaoxu;Zhang, Wen
Coronaviruses hijack human enzymes to assemble the sugar coat on their spike glycoproteins. The mechanisms by which human antibodies may recognize the antigenic viral peptide epitopes hidden by the sugar coat are unknown. Glycosylation by insect cells differs from the native form produced in human cells, but insect cell-derived influenza vaccines have been approved by the US Food and Drug Administration. In this study, we analyzed recombinant severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike protein secreted from BTI-Tn-5B1-4 insect cells, by trypsin and chymotrypsin digestion followed by mass spectrometry analysis. We acquired tandem mass spectrometry (MS/MS) spectrums for glycopeptides of all 22 predicted N-glycosylated sites. We further analyzed the surface accessibility of spike proteins according to cryogenic electron microscopy and homolog-modeled structures and available antibodies that bind to SARS-CoV-1. All 22 N-glycosylated sites of SARS-CoV-2 are modified by high-mannose N-glycans. MS/MS fragmentation clearly established the glycopeptide identities. Electron densities of glycans cover most of the spike receptor-binding domain of SARS-CoV-2, except YQAGSTPCNGVEGFNCYFPLQSYGFQPTNGVGYQ, similar to a region FSPDGKPCTPPALNCYWPLNDYGFYTTTGIGYQ in SARS-CoV-1. Other surfaceexposed domains include those located on central helix, connecting region, heptad repeats and N-terminal domain. Because the majority of antibody paratopes bind to the peptide portion with or without sugar modification, we propose a snake-catching model for predicted paratopes: a minimal length of peptide is first clamped by a paratope and sugar modifications close to the peptide either strengthen or do not hinder the binding.